Center for Machine Perception (CMP) is the research center at the Czech Technical University in Prague comprising research groups and scientists sharing common interests in computer vision, machine learning and robotics from the
- Groups of V. Hlaváč, Biomedical imaging algorithms (J. Kybic), J. Matas, Geometry of vision and robotics (T. Pajdla) at the Faculty of Electrical Engineering, Department of Cybernetics,
and from the
- Groups Robot Perception (V. Hlaváč), Applied Algebra and Geometry (T. Pajdla) at the Czech Institute of Informatics, Robotics and Cybernetics, Robotics and Machine Perception Department.
CMP has been headed by Václav Hlaváč since its foundation in 1995. Read more about CMP.
Selected research topics (more research topics)
|3D Reconstruction||Face detection||Machine learning||Robotics||Recognition|
- 2017-02-20 seminar: Matěj Hoffmann: Humanoid and cognitive robotics:automatic self-calibration and safe physical human-robot interaction
- 2017-02-23 seminar: Tomáš Skopal: Prague Computer Science Seminar: Similarity Search in Unstructured Data
- 2017-02-24 seminar: Kostiantyn Antoniuk: Discriminative learning from partially annotated examples
- 2017-02-28 seminar: Heikki Kälviäinen: Segmentation of partially overlapping convex objects
- 2017-03-09 seminar: Petr ISG Novák: Design and Integration of Simulation Models for Industrial Systems
- 2017-03-09 seminar: Šmíd Marek: OnGIS: Ontology-Based Geospatial Data Integration and Retrieval
- 2016-09-26 Visual Recognition and Machine Learning groups were awarded two high-performance servers with GPU computing accelerators from Facebook Artificial Intelligence Research
- 2016-04-27 Jiri Matas, Ondrej Chum and Giorgos Tolias are co-organizing Vision and Sports Summer School 2016
- 2016-01-27 Tomas Werner has successfully defended his habilitation thesis (reviewed by V. Kolmogorov, M. Loebl, and M.I. Schlesinger).
- 2015-10-13 Zuzana Kukelova receives the ERCIM 2015 Cor Baayen Award “given each year to a promising young researcher in computer science and applied mathematics”.